开发适用于中国儿童青少年的儿童焦虑相关情绪障碍筛查(SCARED) 最佳简短量表
基于FasterRisk机器学习模型，开发适用于中国儿童青少年的儿童焦虑相关情绪障碍筛查 (SCARED) 最佳简短量表
Development of the Screen for Child Anxiety Related Emotional Disorders (SCARED) optimal short scale for Chinese children and adolescents: based on FasterRisk machine learning modeling
——《BMC公共卫生》第25卷第2980号文，2025年8月30日——
【摘要】背景：儿童焦虑相关情绪障碍筛查表（SCARED），是广泛使用的焦虑评估工具，但其41个条目的格式使其在识别高焦虑风险儿童青少年方面耗时费力。本研究旨在利用一种新型机器学习方法——快速准确可解释风险评分（FasterRisk），开发一个适用于中国儿童青少年的SCARED优化版本，以提高预测和干预的效率。方法：在中国河南省，8315名4至9岁儿童青少年接受了完整版SCARED量表和社会人口统计学信息。利用FasterRisk模型筛选构建中文版SCARED的最佳条目，并采用受试者工作特征（ROC）曲线确定最佳截断值。结果：结果表明，5个条目的中文版SCARED能够准确再现整的SCARED评分。通过评估包含1至8个条目的风险评分模型的性能，5条目模型在AUC（0.96）和其他性能指标方面均表现出色，且具有较高的预测精度（R?= 0.82）。在条目数相同的情况下，新开发的5条目中文版SCARED的AUC值（0.96）优于现有的SCARED-5（0.92），最佳截断分数确定为14。结论：5条目中文版SCARED是一个可靠的自评工具，可帮助时间和资源有限的用户评估中国儿童青少年的焦虑状况。
【关键词】 儿童焦虑相关情绪障碍筛查表，焦虑，中国儿童青少年，FasterRisk
[Abstract] Background: Although the Screen for Child Anxiety Related Emotional Disorders (SCARED) is a widely used tool for assessing anxiety, its 41-item format makes it a time-intensive method for identifying children and adolescents at high risk of anxiety. This study aims to develop an optimized version of the SCARED for Chinese children and adolescents using a novel machine learning approach, Fast and Accurate Interpretable Risk Scores (FasterRisk), to improve the efficiency of prediction and intervention. Method: The full version of the SCARED scale and sociodemographic information were given to 8,315 children and adolescents aged 4–9 years in Henan Province, China. The FasterRisk model was utilized to select the optimal items for constructing the Chinese version of SCARED, and receiver operating characteristic (ROC) curves were employed to determine the optimal cutoff scores. Results: The results showed that a 5-item Chinese version of the SCARED accurately reproduced full SCARED scores. By evaluating the performance of risk scoring models containing 1 to 8 items, the 5-item model showed the best performance in AUC (0.96), and other performance indicators, with high prediction accuracy (R?= 0.82). Under the condition of an equal number of items, the AUC value of the newly developed 5-item Chinese version of the SCARED (0.96) surpassed that of the existing SCARED-5 (0.92), with the optimal cutoff score determined to be 14. Conclusion: The 5-item Chinese version of the SCARED is a reliable self-report tool that aids users with limited time and resources in assessing anxiety among children and adolescents in China.
[Key words] SCARED, Anxiety, Chinese children and adolescents, FasterRisk
论文原文：Jina Li, Tianyu Liang, Yi Hou, Gengchao Wang & Zhiyong Qu (2025). Development of the Screen for Child Anxiety Related Emotional Disorders (SCARED) optimal short scale for Chinese children and adolescents: based on FasterRisk machine learning modeling. BMC Public Health, Volume 25, Article number: 2980, Published: 30 August 2025.
https://doi.org/10.1186/s12889-025-24187-w
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